Szczegóły publikacji
Opis bibliograficzny
A block preconditioner for scalable large scale finite element incompressible flow simulations / Damian Goik, Krzysztof BANAŚ // W: Computational Science - ICCS 2020 : 20th International Conference : Amsterdam, The Netherlands, June 3–5, 2020 : proceedings, Pt. 3 / eds. Valeria V. Krzhizhanovskaya, [et al.]. — Cham : Springer Nature Switzerland, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12139. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-50419-9; e-ISBN: 978-3-030-50420-5. — S. 199–211. — Bibliogr. s. 210–211, Abstr. — Publikacja dostępna online od: 2020-06-15
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 129161 |
|---|---|
| Data dodania do BaDAP | 2020-06-24 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-030-50420-5_15 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 20th International Conference on Computational Science |
| Czasopisma/serie | Theoretical Computer Science and General Issues, Lecture Notes in Computer Science |
Abstract
We present a block preconditioner, based on the algebraic multigrid method, for solving systems of linear equations, that arise in incompressible flow simulations performed by the stabilized finite element method. We select a set of adjustable parameters for the preconditioner and show how to tune the parameters in order to obtain fast convergence of the standard GMRES solver in which the preconditioner is employed. Additionally, we show some details of the parallel implementation of the preconditioner and the achieved scalability of the solver in large scale parallel incompressible flow simulations.